Carol Homon

Boehringer Ingelheim (Germany), Boehringer Ingelheim (United States)

Papers

Total Citations

H-Index

About

Carol Homon is a recognized authority in the field of high-throughput screening (HTS) and assay optimization, where her work has bridged the critical gap between manual laboratory techniques and automated robotic systems. Her most influential contributions center on the application of statistical Design of Experiments (DoE) to streamline and accelerate assay development—a key bottleneck in drug discovery. Her seminal paper, "Assay Optimization: A Statistical Design of Experiments Approach" (2007), which has garnered 46 citations, provides a practical framework for reducing optimization timelines by leveraging advances in robotic liquid handling. A closely related 2006 version of the same work, with 21 citations, further details how statistically designed experiments can replace inefficient trial-and-error methods. Homon’s insights have helped researchers transition from manual to automated HTS with greater precision and efficiency. Though her earlier response to the "Automation Basics" debate (1999) received fewer citations, it reflects her long-standing engagement with the practical challenges of lab automation. Her work remains essential reading for scientists seeking to improve assay robustness and throughput in modern screening environments.